PPI by Group (3 digit)

Data as of Dec 2024

Producer price index (PPI) by MSIC group (3 digit). The table provides a preview of the full dataset using the latest month of data only.

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How is this data produced?

The Producer Price Index (PPI) measures the level of prices received by the producer at the first stage of commercialisation (also known as the ex-factory price), relative to a base year (2010 = 100). Ex-factory prices exclude indirect taxes and any transport charges invoiced separately by the producer, unless the transport charges are too difficult to segregate (usually because the firm utilises their own transport facilities rather than hiring transport services). For a deeper understanding of the PPI compilation methodology and related concepts, please refer to the Technical Notes.

What caveats I should bear in mind when using this data?

Data for the most recent 3 months may be revised in subsequent releases.

Publication(s) using this data

Producer Price Index, Dec 2024, the latest edition of the monthly producer price statistics published by DOSM. OpenDOSM also features a dashboard on producer prices where you can explore this data in a more interactive manner.

Metadata

Dataset description

Producer price index (PPI) by MSIC group (3 digit). The table provides a preview of the full dataset using the latest month of data only.

Variable definitions
  • Series Type
  • Date
  • Group
  • Index
Last updated:

28 Jan 2025, 12:00

Next update:

27 Feb 2025, 12:00

Data source(s)
  • Department of Statistics Malaysia
License

This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.

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Data
Full Dataset (CSV)

Full Dataset (CSV)

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Full Dataset (Parquet)

Full Dataset (Parquet)

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Code

Connect directly to the data with Python.

# If not already installed, do: pip install pandas fastparquet import pandas as pd URL_DATA = 'https://storage.dosm.gov.my/ppi/ppi_3d.parquet' df = pd.read_parquet(URL_DATA) if 'date' in df.columns: df['date'] = pd.to_datetime(df['date']) print(df)

Sample OpenAPI query

This data catalog is not available through OpenAPI as the nature of the data makes it unsuitable for API access. For the full dataset, please use the provided download link as shown in the above section.

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Department of Statistics Malaysia

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